[PDF] Top 20 A Language Model based Evaluator for Sentence Compression
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A Language Model based Evaluator for Sentence Compression
... a language-model- based evaluator for deletion-based sen- tence compression, and viewed this task as a series of deletion-and-evaluation op- erations using the ...the ... See full document
6
UPM system for the translation task
... is based on Moses with two new modules for pre and post processing the ...source language test set) for selecting the sentences for training the models and adjusting the ... See full document
6
Fast Joint Compression and Summarization via Graph Cuts
... ILP based compressive summariza- tion using graph ...deletion model and gram- mar constraints can be eliminated by adding SBQF- s to the objective ...ILP based approach in terms of summary quality ... See full document
11
Sentence Compression by Deletion with LSTMs
... natural language processing such as trans- lation (Cho et ...a model that generates compressions directly but rather a model which generates a sequence of deletion ...translation model is also ... See full document
9
Is Sentence Compression an NLG task?
... tree based algorithms presented in (Knight and Marcu, 2002), and for virtually all follow-up work on data-driven sentence compression (Le and Horiguchi, 2003; Vandeghinste and Pan, 2004; Turner and ... See full document
8
Sentence Compression For Automatic Subtitling
... is based on the surrounding structure of the parse ...features model the syntactic context of the target word to capture its immediate syn- tactic ...the sentence and within the ... See full document
9
Discriminative Word Alignment by Linear Modeling
... alignment based on a linear ...source language sentence, a target language sentence, and the alignment between ...Our model is easy to extend and can be optimized with respect to ... See full document
38
Improving Neural Abstractive Document Summarization with Structural Regularization
... properties. Based on the hierarchical structure of document and sum- mary, they can be realized at the sentence- level as: (1) Structural-compression: each sum- mary sentence is generated by ... See full document
10
Cassiopeia model as automatic summary evaluator
... was based on some of the criteria of this research, such as the free use of the tool and the ability to perform text summarization in ...defining compression percentages that allowed a compression ... See full document
8
Robust Training under Linguistic Adversity
... in sentence compression is based on deep learning methods such as recurrent neural networks (Filippova et ...parser-based model, due to the lack of large-scale annotated data for ... See full document
7
Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity
... We investigated the splitting method using MT systems in English-to-Japanese translation, to de- termine what effect the method had on transla- tion. We used two different EBMT systems as test beds. One of the systems ... See full document
7
Paraphrastic Sentence Compression with a Character based Metric: Tightening without Deletion
... sion model because it places limits on the number of paraphrases available for a sentence and thereby limits the possible compression ...candidate compression, or by framing it as an ... See full document
7
Supervised and Unsupervised Learning for Sentence Compression
... p(s, L = s) = p(s) (5) p(l, L = l | s, L = s) = p(l | s) (6) This means we assume that the probability of, say, s as a short (compressed) sentence is simply its prob- ability as a sentence. This will be, in ... See full document
8
Lexicalized Markov Grammars for Sentence Compression
... channel model (NoisyC), which con- firms our finding that Markovized models can pro- duce quite grammatical ...Our compression for the first sentence underlines one of the advantages of ... See full document
8
Sentence Compression with Joint Structural Inference
... Sentence compression techniques often assemble output sentences using frag- ments of lexical sequences such as n- grams or units of syntactic structure such as edges from a dependency tree repre- ... See full document
10
Sentence Compression Beyond Word Deletion
... abstractive compression which we created by having annotators compress sentences while rewriting ...stractive compression is a meaningful ...is based on synchronous tree substitution grammar (STSG, ... See full document
8
Constraint Based Sentence Compression: An Integer Programming Approach
... basic language model pre- sented in Equations ...the compression model and to preserve the meaning of the original sentence as much as ... See full document
8
Unsupervised Rewriter for Multi Sentence Compression
... graph model (Boudin and Morin, 2013) augmented with keyphrase iden- tification (Wan and Xiao, 2008), as our word graph ...Seq2seq model was trained using (B , C) ... See full document
6
NJU Submissions for the WMT19 Quality Estimation Shared Task
... WMT19 sentence-level Quality Estima- tion (QE) shared task on English-German lan- guage ...approaches based on a two-stage neural QE model consisting of a feature extractor and a quality estima- ... See full document
6
A Sentence Compression Based Framework to Query Focused Multi Document Summarization
... of sentence compression techniques for query-focused ...learning-based sentence com- pression ...to sentence-compression— rule-based, sequence-based and ... See full document
11
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